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1 Ergebnisse
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3DGAUnet: 3D Generative Adversarial Networks with a 3D U-Ne..:
Yu Shi
;
Hannah Tang
;
Michael J. Baine
...
https://www.mdpi.com/2072-6694/15/23/5496. , 2023
Link:
https://doi.org/10.3390/cancers15235496
RT Journal T1 <Title>3DGAUnet: 3D Generative Adversarial Networks with a 3D U-Net Based Generator to Achieve the Accurate and Effective Synthesis of Clinical Tumor Image Data for Pancreatic Cancer</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:9dd96b2d85944390936fd423308b0f51&Exemplar=1&LAN=DE A1 Yu Shi A1 Hannah Tang A1 Michael J. Baine A1 Michael A. Hollingsworth A1 Huijing Du A1 Dandan Zheng A1 Chi Zhang A1 Hongfeng Yu PB MDPI AG YR 2023 K1 pancreatic cancer K1 generative adversarial network K1 3D volume synthesis K1 clinical tumor K1 medical imaging K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.mdpi.com/2072-6694/15/23/5496 LK http://dx.doi.org/https://doi.org/10.3390/cancers15235496 DO https://doi.org/10.3390/cancers15235496 SF ELIB - SuUB Bremen
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